151 related articles for article (PubMed ID: 35587946)
21. A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI.
Wang H; Wang Y; Zhang H; Yin X; Wang C; Lu Y; Song Y; Zhu H; Yang G
J Magn Reson Imaging; 2024 Feb; 59(2):483-493. PubMed ID: 37177832
[TBL] [Abstract][Full Text] [Related]
22. Prediction of KRAS Mutation in Rectal Cancer Using MRI.
Shin YR; Kim KA; Im S; Hwang SS; Kim K
Anticancer Res; 2016 Sep; 36(9):4799-804. PubMed ID: 27630331
[TBL] [Abstract][Full Text] [Related]
23. A Nomogram of Combining IVIM-DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively.
Jia H; Jiang X; Zhang K; Shang J; Zhang Y; Fang X; Gao F; Li N; Dong J
J Magn Reson Imaging; 2022 Sep; 56(3):658-667. PubMed ID: 35090079
[TBL] [Abstract][Full Text] [Related]
24. Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging.
He K; Liu X; Li M; Li X; Yang H; Zhang H
BMC Med Imaging; 2020 Jun; 20(1):59. PubMed ID: 32487083
[TBL] [Abstract][Full Text] [Related]
25. Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI.
Zhang XY; Wang L; Zhu HT; Li ZW; Ye M; Li XT; Shi YJ; Zhu HC; Sun YS
Radiology; 2020 Jul; 296(1):56-64. PubMed ID: 32315264
[TBL] [Abstract][Full Text] [Related]
26. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics.
Bian T; Wu Z; Lin Q; Mao Y; Wang H; Chen J; Chen Q; Fu G; Cui C; Su X
J Magn Reson Imaging; 2022 Mar; 55(3):772-784. PubMed ID: 34453461
[TBL] [Abstract][Full Text] [Related]
27. MRI-Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN-RNN Model.
Guo YJ; Yin R; Zhang Q; Han JQ; Dou ZX; Wang PB; Lu H; Liu PF; Chen JJ; Ma WJ
J Magn Reson Imaging; 2024 Jan; ():. PubMed ID: 38205712
[TBL] [Abstract][Full Text] [Related]
28. Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer.
Guo XF; Yang WQ; Yang Q; Yuan ZL; Liu YL; Niu XH; Xu HB
Curr Med Sci; 2020 Dec; 40(6):1156-1160. PubMed ID: 33428144
[TBL] [Abstract][Full Text] [Related]
29. Novel multiparametric MRI-based radiomics in preoperative prediction of perirectal fat invasion in rectal cancer.
Wang H; Chen X; Ding J; Deng S; Mao G; Tian S; Zhu X; Ao W
Abdom Radiol (NY); 2023 Feb; 48(2):471-485. PubMed ID: 36508131
[TBL] [Abstract][Full Text] [Related]
30. Elaboration of Multiparametric MRI-Based Radiomics Signature for the Preoperative Quantitative Identification of the Histological Grade in Patients With Non-Small-Cell Lung Cancer.
Tang X; Bai G; Wang H; Guo F; Yin H
J Magn Reson Imaging; 2022 Aug; 56(2):579-589. PubMed ID: 35040525
[TBL] [Abstract][Full Text] [Related]
31. Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.
Zhang W; Yin H; Huang Z; Zhao J; Zheng H; He D; Li M; Tan W; Tian S; Song B
Cancer Med; 2021 Jun; 10(12):4164-4173. PubMed ID: 33963688
[TBL] [Abstract][Full Text] [Related]
32. Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
Jiang X; Ren M; Shuang X; Yang H; Shi D; Lai Q; Dong Y
J Magn Reson Imaging; 2021 Aug; 54(2):497-507. PubMed ID: 33638577
[TBL] [Abstract][Full Text] [Related]
33. Association between oncogenic RAS mutation and radiologic-pathologic findings in patients with primary rectal cancer.
Jo SJ; Kim SH
Quant Imaging Med Surg; 2019 Feb; 9(2):238-246. PubMed ID: 30976548
[TBL] [Abstract][Full Text] [Related]
34. KRAS status predicted by pretreatment MRI radiomics was associated with lung metastasis in locally advanced rectal cancer patients.
Xiang Y; Li S; Song M; Wang H; Hu K; Wang F; Wang Z; Niu Z; Liu J; Cai Y; Li Y; Zhu X; Geng J; Zhang Y; Teng H; Wang W
BMC Med Imaging; 2023 Dec; 23(1):210. PubMed ID: 38087207
[TBL] [Abstract][Full Text] [Related]
35. Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.
Liang X; Tang K; Ke X; Jiang J; Li S; Xue C; Deng J; Liu X; Yan C; Gao M; Zhou J; Zhao L
J Magn Reson Imaging; 2023 Oct; ():. PubMed ID: 37897302
[TBL] [Abstract][Full Text] [Related]
36. Comparative Analysis of Amide Proton Transfer MRI and Diffusion-Weighted Imaging in Assessing p53 and Ki-67 Expression of Rectal Adenocarcinoma.
Li L; Chen W; Yan Z; Feng J; Hu S; Liu B; Liu X
J Magn Reson Imaging; 2020 Nov; 52(5):1487-1496. PubMed ID: 32524685
[TBL] [Abstract][Full Text] [Related]
37. Fast T2-Weighted Imaging With Deep Learning-Based Reconstruction: Evaluation of Image Quality and Diagnostic Performance in Patients Undergoing Radical Prostatectomy.
Park JC; Park KJ; Park MY; Kim MH; Kim JK
J Magn Reson Imaging; 2022 Jun; 55(6):1735-1744. PubMed ID: 34773449
[TBL] [Abstract][Full Text] [Related]
38. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
[TBL] [Abstract][Full Text] [Related]
39. Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.
Wan L; Hu J; Chen S; Zhao R; Peng W; Liu Y; Hu S; Zou S; Wang S; Zhao X; Zhang H
Eur Radiol; 2023 May; 33(5):3638-3646. PubMed ID: 36905470
[TBL] [Abstract][Full Text] [Related]
40. Diagnostic performance of synthetic magnetic resonance imaging in the prognostic evaluation of rectal cancer.
Ma L; Lian S; Liu H; Meng T; Zeng W; Zhong R; Zhong L; Xie C
Quant Imaging Med Surg; 2022 Jul; 12(7):3580-3591. PubMed ID: 35782274
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]